Techbar

Our UK-based customer is building a new multi-tenant platform for asset management – a complex, interconnected system designed to unify disparate data sources and ontologies into a single, collaborative environment.
The platform requires advanced interoperability between different domains, offline-first functionality with data synchronization, and scalable architecture to support multiple clients and access levels.

This is a long-term project (6–12 months minimum), where you will have the opportunity to shape architecture, solve challenging data problems, and work alongside a highly collaborative team in an agile environment.

Responsibilities

• Design and develop core system components, including:
  • multi-tenant data management and synchronization,
  • interoperability across heterogeneous systems,
  • rule evaluation and advanced data processing.
• Contribute to architectural decisions and implementation of shared libraries.
• Implement offline-first capabilities and data sync mechanisms.
• Collaborate with product owners, architects, and other developers in an agile setup (daily standups, task boards, CI/CD).
• Ensure scalability, reliability, and maintainability of the system.

• Stay adaptable and contribute across the stack as needed.

   

Required Skills & Experience

Core skills and knowledge: 

• TypeScript
• AWS Lambda, EC2
• Computer Science & Advanced Knowledge:
• Strong foundations in algorithms and data structures.
• Set Theory & Categorization Theory – frameworks for organizing and classifying data.
• Formal methods – use of mathematical models and logic in software verification.
• Exposure to meta programming, compiler theory, abstract syntax trees/graphs, semantic graphs, knowledge graphs.
• Basic understanding of ML concepts (e.g., loss functions, optimization).

To know or strong desire and ability to learn: 

• Gherkin (optional)
• AWS Neptune (optional)

• Gremlin (optional)

   

Communication

• English proficiency: B2+ (comfortable in technical discussions, daily standups, and documentation).

   

Nice to Have

• Experience with graph databases or ontology-driven systems.
• Building Progressive Web Applications (PWA).
• Hands-on knowledge of large-scale, multi-tenant architectures.

What We Offer

• A chance to work on an innovative project from the ground up.
• Remote-first, flexible work environment.
• Initial contract of 6+ months, with potential extension.
• Collaborative, international team culture.

We are looking for an experienced IT Professional specializing in Active Directory decommissioning and Microsoft Entra ID (Azure AD) migration to join our team. The role involves leading a critical migration project, ensuring a smooth transition from legacy on-premises infrastructure to a modern cloud-based identity and access management environment. You will collaborate closely with application owners, infrastructure teams, and stakeholders to optimize Microsoft 365 and Azure services, implement security best practices, and drive automation.

This position requires residency within the EU.

Responsibilities

• Decommission Active Directory servers and ensure all services and users rely solely on Entra ID.
• Support migration to Entra ID, including identity, access, and governance configurations.
• Assist application owners in removing dependencies on Active Directory, including file servers and other legacy systems.
• Migrate Windows-based applications to new Windows servers or workstations.
• Perform post-decommission cleanup in Entra ID, including users, groups, roles, applications, service principals, emails, SharePoint sites, and related resources.
• Administer and optimize Microsoft 365 services, including Exchange Online, Teams, and SharePoint Online.
• Implement security best practices using Microsoft Defender and related tools.
• Develop automation scripts and Infrastructure-as-Code solutions using PowerShell and Terraform.
• Collaborate with stakeholders to document processes, ensure compliance, and maintain system integrity.

Requirements

• Proven experience in Active Directory decommissioning and migration to Microsoft Entra ID (Azure AD).
• Strong knowledge of Entra ID, including conditional access, identity protection, and governance.
• Hands-on experience with Intune, Exchange Online, Microsoft Teams, and SharePoint Online.
• Expertise in Windows Server administration, patching, and troubleshooting.
• Proficiency in automation and scripting for infrastructure tasks (PowerShell, Terraform).
• Understanding of security standards and compliance in Microsoft environments.
• Ability to collaborate effectively with application owners and stakeholders to remove legacy dependencies.

Nice to Have

• Experience with Microsoft Defender and advanced security configurations.
• Previous involvement in large-scale Microsoft 365 or Azure migration projects.
• Strong documentation and communication skills.

About the project
Our client is developing an AI-powered legal intelligence platform aimed at streamlining access to insights and improving workflows for professionals in the legal domain. The platform combines modern web technologies with advanced AI models and retrieval pipelines.

Key Responsibilities

• Design, develop, test, and deploy scalable full-stack solutions with React (frontend) and FastAPI/Python (backend).
• Work with vector databases and RAG pipelines, supporting both closed- and open-source AI models.
• Build robust APIs, backend logic, and endpoints, integrating with cloud infrastructure (GCP).
• Write maintainable, well-tested code and clear documentation.
• Collaborate with product, design, and research teams to deliver new features.
• Participate in agile ceremonies: sprint planning, daily standups, reviews, retrospectives.
• Identify technical blockers proactively and resolve them.

KPIs & Deliverables

• Deliver sprints on time with agreed feature sets.
• Maintain stable uptime, fast response times, and low error rates.
• Ensure solid test coverage and code quality.
• Contribute to architectural and scaling decisions.

Required Skills & Experience

• Strong full-stack web development background: React + Python (FastAPI).
• Experience with cloud platforms (preferably GCP).
• Knowledge of vector databases, RAG pipelines, AI model integration.
• Solid understanding of software architecture and API design.
• Proven track record of writing production-grade, testable, maintainable code.
• Strong English communication skills.

• Ability to work in a remote, async/sync team setup.

   

Nice to Have

• Experience in legaltech or AI tools.
• Familiarity with multilingual apps (Arabic + English).
• Cloud cost optimization knowledge.
• Previous work in contractor/outstaffing models.

Working Conditions

• 📍 Remote (global applicants welcome; preference for EU / Ukraine time-zone overlap).
• ⏰ Start: by October 10.
• 📝 Contract: full-time, short- to mid-term, with potential extension.

About the Project

We are looking for a Full Stack Developer to join a long-term AI project for our client.
The product is a cloud-based image editing platform that combines manual precision tools with AI automation. It supports segmentation, background removal, inpainting, matting, and advanced export workflows. The solution is moving from prototype to a fully scalable SaaS product used by designers and content creators worldwide.

A smooth onboarding is planned in October, including a handover from the current developer.

Responsibilities

• Develop and maintain the full stack: frontend (React/TypeScript) + backend (Node.js, APIs, PostgreSQL).
• Integrate external AI/ML services (HuggingFace, Replicate, Black Forest Labs).
• Optimise browser-side ML models (ONNX, WebAssembly).
• Build secure and type-safe APIs (tRPC, GraphQL/REST).
• Own database layer (PostgreSQL, Prisma ORM) – schema design, migrations, optimisation.
• Optimise performance for large-scale image processing and caching.
• Manage authentication/authorisation (JWT, OAuth, organisation-level permissions).
• Contribute to DevOps (CI/CD, Vercel, AWS, CDN, monitoring).
• Collaborate with designers, product managers, and AI researchers.

Requirements

Must-have:

• 3+ years of experience with TypeScript, Node.js, React.
• Hands-on with PostgreSQL + Prisma ORM.
• Strong API development skills (tRPC/GraphQL/REST).
• Cloud hosting & deployment experience (Vercel, AWS or similar).
• Experience with canvas rendering, WebAssembly, image processing.
• Familiarity with AI/ML service integration.
• Solid understanding of JWT/OAuth authentication.
   

Nice-to-have:

• Experience with ONNX Runtime or in-browser ML optimisation.
• Knowledge of SaaS billing/credit-based systems.
• Background in digital content workflows (photo/design software).
• DevOps: CDN, monitoring, service health.
   

Soft Skills

• Strong ownership and problem-solving mindset.
• Comfortable in a fast-paced, experimental AI environment.
• Good communication skills and fluent English (Upper-Intermediate+).

We offer:

• Long-term collaboration.
• Opportunity to work with cutting-edge AI technologies.
• Fully remote format (no travel required).
• Competitive compensation (to be discussed).

We are looking for a Agentic AI Architect to join our team and help build cutting-edge agentic AI systems that automate the entire software development lifecycle. In this role, you’ll work at the intersection of AI, developer tools, and systems architecture - designing and implementing production-grade agentic workflows powered by large language models. If you're passionate about AI-driven automation, enjoy rapid iteration, and want to shape the future of how software is built, we’d love to hear from you.

Requirements

• Hands-on experience designing and developing agentic systems using the following frameworks: LangGraph, LangSmith, LangChain, Pydantic, Braintrust.dev, Arize, OpenRouter, or similar.
• Hands-on experience with designing and developing production-grade agentic systems using agent engineering, including prompt engineering, context engineering and context usage optimization, designing and builidng evals (offline and online), designing and implementing agent tools (including MCP), memory engineering.
• Hands-on experience with rapidly iterating on design and implementation of agentic workflows, making hypotheses, adjusting evals, tuning system prompts, developing specialized agent tools to improve performance of agentic workflows towards the defined targets.
• Experience designing REST APIs and integrating with external APIs, proficiency with Python and FastAPI.
• Hands-on experience with Agentic AI-powered coding tools, like Github Copilot, Cursor, Windsurf, Cline, RooCode, Claude Code, OpenAI Codex; experience with customizing agentic workflows, rules and prompts is considered an advantage.
• Experience designing and implementing secure and safe agentic systems, including guardrails, LLM/agentic threat modeling, hardening and red teaming is considered an advantage.

• English: Upper-Intermediate/Advanced.

   

  Responsibilities

• Primary responsibility is hands-on design and implementation of an Agentic AI engine enabling development of agents automating the software development lifecycle, from specs to design, to coding and testing.
• Design and implement a state-of-the-art agentic AI engine for automating activities in the software development lifecycle.
• Actively participate in the development and analysis of requirements for the agentic engine and adjacent ecosystem.
• Design and implement multi-agent squads across different stages and dimensions of the software development lifecycle.
• Apply best industry methodologies, patterns, and practices to agent engineering activities, including context engineering with practices such as task breakdown and execution, RAG, memory, process, and artifact quality evaluations.
• Develop and document architecture vision, agentic architecture, and design documents.
• Integrate the agentic AI engine with other parts of the landscape.
• Communicate effectively with stakeholders and external clients.

We are looking for experienced AI Architect to join our team and grow with the company. 

Requirements
• Hands-on experience designing and developing agentic systems using the following frameworks: LangGraph, LangSmith, LangChain, Pydantic, Braintrust.dev, Arize, OpenRouter, or similar
• Hands-on experience with designing and developing production-grade agentic systems using agent engineering, including prompt engineering, context engineering and context usage optimization, designing and builidng evals (offline and online), designing and implementing agent tools (including MCP), memory engineering
• Hands-on experience with rapidly iterating on design and implementation of agentic workflows, making hypotheses, adjusting evals, tuning system prompts, developing specialized agent tools to improve performance of agentic workflows towards the defined targets
• Experience designing REST APIs and integrating with external APIs, proficiency with Python and FastAPI
• Hands-on experience with Agentic AI-powered coding tools, like Github Copilot, Cursor, Windsurf, Cline, RooCode, Claude Code, OpenAI Codex; experience with customizing agentic workflows, rules and prompts is considered an advantage
• Experience designing and implementing secure and safe agentic systems, including guardrails, LLM/agentic threat modeling, hardening and red teaming is considered an advantage

Soft skills requirements:

• Comfortable with rapid iteration and changing requirements
• Strong ownership mentality and self-direction
• Ability to work across the entire stack when needed
• Experience or interest in early-stage product development
• Excellent communication skills for cross-functional collaboration
• Excitement about AI and its impact on software development
• English: Upper-Intermediate/Advanced

Responsibilities
• Primary responsibility is hands-on design and implementation of an Agentic AI engine enabling development of agents automating the software development lifecycle, from specs to design, to coding and testing:
• Design and implement a state-of-the-art agentic AI engine for automating activities in the software development lifecycle
• Actively participate in the development and analysis of requirements for the agentic engine and adjacent ecosystem
• Design and implement multi-agent squads across different stages and dimensions of the software development lifecycle
• Apply best industry methodologies, patterns, and practices to agent engineering activities, including context engineering with practices such as task breakdown and execution, RAG, memory, process, and artifact quality evaluations
• Develop and document architecture vision, agentic architecture, and design documents
• Integrate the agentic AI engine with other parts of the landscape
• Communicate effectively with stakeholders and external clients

Description

Client -is a multinational IT and telecommunications company providing services to the global air transport industry. The client is running R&D and POC projects aimed at supporting airport operations (ticketing, staff notifications, control room assistants, etc.).

Requirements

• Strong experience in AI/ML engineering, ideally with agentic AI or multi-agent frameworks.
• Hands-on experience with FastAPI.
• Familiarity with AI agent frameworks (LangGraph or similar).
• Solid knowledge of MCP (Model Context Protocol).
• Experience with vector databases (e.g. Pinecone, Weaviate, FAISS) and relational databases (e.g. PostgreSQL, MySQL).
• Backend development fundamentals: CRUD operations, API design, system integration.
• Containerization and orchestration: Docker Compose.
• Cloud infrastructure knowledge: Azure and/or GCP.
• Proficiency in Python and modern AI/ML libraries.
• Strong problem-solving and system design skills.
• English B2 or higher (daily communication with an international team).

Responsibilities

• Collaborate daily with the client’s technical and product teams.
• Build and prototype Agentic AI solutions in an R&D / POC environment.
• Design and implement backend systems and APIs (FastAPI-based).
• Integrate and manage data pipelines (flight schedules, operational data, etc.).
• Work with knowledge bases and system integrations (vector databases, relational databases, MCP).
• Deploy and maintain services using Docker Compose and cloud infrastructure (Azure, GCP).
• Develop scalable solutions starting small and iterating quickly.

As a Full Stack Architect, you will design and develop web frontend and backend services for an agentic AI platform that is accelerating application development across the entire software development lifecycle.

Technical Requirements
Essential:

• 5+ years fullstack development with TypeScript/JavaScript ecosystem
• Expert-level React and modern state management (Redux Toolkit, Zustand, or similar)
• Strong Node.js/NestJS or Express backend development
• Experience with real-time systems (WebSockets, Server-Sent Events, WebRTC)
• PostgreSQL and Redis for data persistence and caching
• Docker and container orchestration basics
• Git workflows and CI/CD pipeline setup
• Understanding of authentication systems (OAuth, JWT, SSO)
• API design and documentation (OpenAPI)
• Experience with event-driven architectures (Kafka, RabbitMQ)

Soft skills requirements:

• Comfortable with rapid iteration and changing requirements
• Strong ownership mentality and self-direction
• Ability to work across the entire stack when needed
• Experience or interest in early-stage product development
• Excellent communication skills for cross-functional collaboration
• Excitement about AI and its impact on software development
• English: Upper-Intermediate/Advanced

Responsibilities
Primary responsibility is hands-on design and implementation of an Agentic AI platform enabling development of agents automating the entire software development lifecycle, from specs to design, to coding and testing:

• Design and develop a web frontend for Agentic AI spec, design, code and test generation services backend
• Develop responsive, real-time web UI for code generation, editing, and collaboration using React and TypeScript
• Design and implement scalable backend services for LLM orchestration, code execution, and user workspace management
• Create WebSocket-based systems for streaming code generation and real-time collaborative features
• Build REST APIs for third-party integrations
• Implement secure sandboxed code execution environments and containerized runtime systems
• Develop billing, usage tracking, and subscription management subsystems
• Optimize frontend performance for large code files and syntax highlighting
• Create developer tools and SDKs for platform integration
• Collaborate with AI team to integrate Agentic AI engine into user-facing features

• Participate in architecture decisions for scaling the system.

   

Nice to have:

• Experience integrating LLM APIs (OpenAI, Anthropic, or similar)
• Understanding of streaming responses and token management
• Familiarity with code parsing, syntax trees, and language servers
• Knowledge of sandboxed execution environments
• Experience with Kubernetes and cloud platforms (AWS/Azure)
• Python knowledge for AI/ML integration
• Experience with VS Code extension development
• Experience with vector databases
• Familiarity with observability tools (Sentry, OpenTelemetry)

We’re looking for a Full Stack Developer to join the project and work on a cutting-edge AI-driven platform. You’ll combine your engineering expertise with AI-assisted coding tools (Cursor, Claude Code, OpenAI, Anthropic, Google AI), guiding and improving AI-generated code so it meets high standards of quality, scalability, and performance.

This role puts you at the frontline of AI-assisted engineering, where AI becomes not just an accelerator but a true driver of innovation.

What you’ll do:

• Review and refine AI-generated code, ensuring production-level quality
• Work across frontend (Vue / React) and backend (Rails / Node.js)
• Contribute to architectural decisions and scalability improvements
• Optimize database design and performance (PostgreSQL)

• Collaborate with product and AI teams to shape next-gen development workflows

   

Must-have:

• 4+ years of software engineering experience
• 3+ years backend with Ruby on Rails or Node.js
• Strong skills in TypeScript & JavaScript
• 2+ years with Vue.js (preferred) or React
• Proven hands-on experience with AI coding tools (Cursor / Claude Code)
• Solid database knowledge (Postgres ideal)
• Independent mindset and adaptability to AI-driven workflows

Nice-to-have:

• AWS (Elastic Beanstalk, Docker, S3, CloudFront)
• Automated testing (Cypress / Selenium)
• CS degree or equivalent background

Join us to turn messy real-world schedules into fast, reliable algorithms. You’ll design and ship optimization logic for complex manufacturing and production flows—building models that make sequencing, capacity, and resource decisions in the wild, not just on paper. Your work will run in production and integrate with our systems via APIs.

What you’ll do

• Model scheduling, sequencing, and resource allocation problems as optimization formulations.
• Translate operational requirements into clear mathematical models and solver setups.
• Prototype and compare approaches (MIP/CP/heuristics/metaheuristics), then choose the right tool for each use case.
• Implement services that expose the models through APIs and integrate with production systems.
• Tune solver performance (runtime, robustness, scalability) across diverse workloads.
• Partner with software engineers to ensure reliability, observability, and maintainability in production.
• Track advances in optimization/OR and practical AI/ML methods relevant to scheduling.

What you’ll bring

• Strong foundation in Operations Research, Applied Mathematics, or a related quantitative field.
• Hands-on experience with optimization: linear/mixed-integer programming, constraint programming, and/or heuristic/metaheuristic methods.
• Familiarity with solvers such as CP-SAT, Gurobi, CPLEX, or solid open-source alternatives.
• Proficiency in at least one production-grade language for modeling/integration (e.g., Python, C++, or Java).
• Proven experience deploying optimization logic to production, ideally as API-backed services.
• Domain exposure to scheduling/sequencing/resource allocation in manufacturing, logistics, or similar environments.
• Bonus: awareness of applied AI/ML techniques that complement optimization for scheduling problems.

About the Project
Our client operates in a large-scale, data-driven environment and is looking for an experienced Data Analyst to drive real-time analytics, data warehousing, and dashboard solutions. The role focuses on delivering high-quality insights, ensuring data reliability, and building powerful visualization tools that empower decision-making across technical and business teams.

Key Responsibilities:

Real-time Analytics with Grafana

• Develop and maintain Grafana dashboards for monitoring network performance, service quality, and operational KPIs.
• Configure alerting, thresholds, and integrations with time-series data sources (e.g., Prometheus, InfluxDB, ClickHouse, Kafka).
• Ensure dashboards are user-friendly, performant, and aligned with stakeholder requirements.

Data Warehousing & BI Development

• Design scalable data warehouse models (star/snowflake schemas) and semantic layers for governed reporting.
• Implement ETL/ELT pipelines (batch and streaming) ensuring high data quality and reliability.
• Build BI reports and analytical views for business teams using DW data.

Client Advisory & UX Optimization

• Advise stakeholders on analytics use cases, KPI definitions, and dashboard best practices.
• Conduct workshops and prototype dashboards to enhance adoption and usability.
• Ensure compliance with governance, security, and data privacy standards.

Performance & Reliability

• Optimize SQL queries, storage patterns, and dashboard performance for low latency.
• Monitor data freshness and pipeline reliability; define and maintain SLIs/SLOs for the analytics stack.

Required Skills & Qualifications

• 5+ years of experience in DW/BI and/or analytics, preferably in telecom or large-scale environments.
• Proven expertise in Grafana for real-time dashboards, alerting, and visualization.
• Strong SQL and data modeling skills; experience with DW platforms such as Snowflake, BigQuery, Redshift, or Azure Synapse.
• Experience building ETL/ELT pipelines using dbt, Airflow, Azure Data Factory, Databricks, or similar tools.
• Familiarity with streaming data technologies (Kafka, Event Hubs) and time-series databases (Prometheus, InfluxDB, ClickHouse).
• Ability to advise on analytics strategy, UX, and KPI design.
• Solid understanding of data governance, security, and privacy (RBAC, PII handling, GDPR).
• Excellent communication skills with both technical and business stakeholders.